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Synchronization and control of spatiotemporal chaos using time-series data from local regions
Nita Parekh1, V. Ravi Kumar, B. D. Kulkarni
1Chemical Engineering Division, National Chemical Laboratory, Pune - 411 008, India.
Chaos (Woodbury, N.Y.)
|June 5, 2003
Abstract:
In this paper we show that the analysis of the dynamics in localized regions, i.e., sub-systems can be used to characterize the chaotic dynamics and the synchronization ability of the spatiotemporal systems. Using noisy scalar time-series data for driving along with simultaneous self-adaptation of the control parameter representative control goals like suppressing spatiotemporal chaos and synchronization of spatiotemporally chaotic dynamics have been discussed. (c) 1998 American Institute of Physics.